Create app.py

app.py

@@ -0,0 +1,18 @@
+# app.py
+import gradio as gr
+from transformers import AutoTokenizer, AutoModel
+import torch
+
+model_name = "BM-K/KoSimCSE-roberta"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+def embed(text):
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
+    with torch.no_grad():
+        outputs = model(**inputs)
+        embeddings = outputs.last_hidden_state[:, 0]
+    return embeddings.tolist()
+
+iface = gr.Interface(fn=embed, inputs="text", outputs="text")
+iface.launch()